Key papers

• Causal invariant geographic network representations with feature and structural distribution shifts (2025)
  Yuhan Wang et al.
  7.50
• SceneActBench: Can Agents Act on the 3D Scenes They See? (2026)
  Yifei Zhao et al.
  7.37
• GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network (2025)
  Wenjing Xiao et al.
  6.89
• An Exam for Active Observers (2026)
  Jiarui Zhang et al.
  6.58
• A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection (2025)
  Batool Lakzaei and Mostafa Haghir Chehreghani and Alireza Bagheri
  6.30
• Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks (2025)
  Zewen Liu et al.
  6.17
• Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs (2026)
  Mohammad Forouhesh
  5.88
• Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems (2025)
  Wenxuan Zhu et al.
  5.70
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  5.01
• Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems (2026)
  Xiao Zhu et al.
  5.01
• Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability (2026)
  Yi Liu et al.
  5.01
• Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation (2026)
  Hongbo Wang et al.
  5.00
• A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting (2025)
  Jiankai Zheng and Liang Xie
  4.98
• ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity (2025)
  Mahmuda Sultana Mimi et al.
  4.47
• Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic Forecasting (2026)
  Qingzhong Li et al.
  4.39
• TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling (2026)
  Songru Yang et al.
  4.39
• Disentangling Knowledge States with Ability and Proficiency Modeling for Knowledge Tracing (2026)
  Duantengchuan Li et al.
  4.39
• A Hybrid Mamba for Audio-Visual Navigation (2026)
  Yi Wang et al.
  4.39
• Mixed-Timescale Differential Coding for Downlink Model Broadcast in Wireless Federated Learning (2026)
  Chung-Hsuan Hu et al.
  4.39
• Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science (2026)
  Sutanay Choudhury et al.
  4.39
• Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System (2026)
  Ken Jon Miyachi et al.
  4.39
• Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization (2026)
  Yuxin Huang et al.
  4.39
• ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding (2026)
  Kai Chen et al.
  4.39
• Learning Physics-Guided Residual Dynamics for Deformable Object Simulation (2026)
  Shivansh Patel et al.
  4.39
• From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing (2026)
  Yin Huang et al.
  4.39
• GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning (2026)
  Kaicong Huang et al.
  4.39
• Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System (2026)
  David Krongauz et al.
  4.39
• Comprehensive, Efficient Large-Scale Community Detection via Structural Entropy Game (2026)
  Pu Li et al.
  4.39
• Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography (2026)
  Hyunkyung Han et al.
  4.39
• AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling (2026)
  Wenxi Liu et al.
  4.39
• Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal and Time-to-Event Modeling (2026)
  Anders Sj\"oberg et al.
  4.39
• LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models (2026)
  Jingteng Li et al.
  4.39
• AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries (2026)
  Mengda Xing (CRIL et al.
  4.39
• Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions (2026)
  Pin Qian et al.
  4.39
• CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting (2026)
  Awsaf Tausif Adib et al.
  4.39
• A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks (2026)
  Bertil Braun
  4.39
• TRW: TRACE-RealWorld---An Auditable Consistency Contract for World Models as Materialized Views (2026)
  Edward Y. Chang
  4.39
• MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning (2026)
  Xiangjun Shi et al.
  4.39
• TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network (2026)
  Rohit Tewari et al.
  4.33
• Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction (2026)
  Abdelkader Dairi et al.
  4.33
• Learning Dynamic Stability Landscapes in Synchronization Networks (2026)
  Christian Nauck et al.
  4.27
• 'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning (2026)
  Shubhajit Roy et al.
  4.27
• Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks (2026)
  Derek Regier et al.
  4.27
• FB-GAT: A graph neural networks (GNNs) approach to assessing facades' buildability (2026)
  Bolun Wang et al.
  4.20
• Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection (2025)
  Jiazhen Chen et al.
  3.97
• Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning (2025)
  Jiafeng Xiong and Rizos Sakellariou
  3.92
• Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems (2025)
  Vinay Sharma et al.
  3.70
• Scaling Point-in-Time Language Models (2026)
  Bryan Kelly et al.
  3.51
• Classifying daily activities needs posture, reconstructing them needs motion (2026)
  Arefeh Farahmandi et al.
  3.51
• T^2MLR: Transformer with Temporal Middle-Layer Recurrence (2026)
  Ziyang Cai et al.
  3.51
• FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels (2026)
  Md Nahid Hasan Shuvo et al.
  3.51
• Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning (2025)
  Ling Wang
  2.87
• CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs (2025)
  Tianming Zhang et al.
  2.87
• LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection (2025)
  Lingzhi Shen et al.
  2.76
• High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction (2025)
  Ling Wang and Minglian Han
  2.76
• TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics (2025)
  Xu Lingrui et al.
  2.71
• Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture (2025)
  Edward Turner
  2.60
• Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures (2025)
  Ghazal Khodabandeh et al.
  2.60
• FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks (2025)
  Or Feldman et al.
  2.23
• STEC-Net: A Spatiotemporal Graph Neural Framework for Community Discovery in Dynamic Social Networks (2025)
  Yingnan Xu et al.
  2.06